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Automation
Society & Law
Shifting tasks from humans to machines.
Automation is the systematic transfer of repetitive or complex tasks to software, robotics, or AI models.
- Types: Rule-based (if-this-then-that), statistical (prediction models), generative (assistance, drafting, code).
- Value: Lower cycle times, consistent quality, scalability, 24/7 operation.
- Limits: Data quality, error propagation, explainability, pipeline maintenance and exceptions.
- Workplace: Tasks shift (from manual execution to monitoring, control, creative work); upskilling and worker participation are key.
- Compliance & law: Documentation duties, data protection, liability, industry standards.
- Best practices: Measurable goals, phased rollout (pilot → production), monitoring, human-in-the-loop, clear escalation paths.